{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv,pickle,time\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.manifold import TSNE\n",
    "from utils import GeneSeg\n",
    "from gensim.models.word2vec import Word2Vec\n",
    "learning_rate=0.1\n",
    "vocabulary_size=3000\n",
    "batch_size=128\n",
    "embedding_size=128\n",
    "num_skips=4\n",
    "skip_window=5\n",
    "num_sampled=64\n",
    "num_iter=5\n",
    "plot_only=100\n",
    "log_dir=\"word2vec.log\"\n",
    "plt_dir=\"/home/admin/xssdetection/file/word2vec.png\"\n",
    "vec_dir=\"/home/admin/xssdetection/file/word2vec.pickle\"\n",
    "\n",
    "\n",
    "start=time.time()\n",
    "words=[]\n",
    "datas=[]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"/home/admin/xssdetection/data/xssed.csv\",\"r\",encoding=\"utf-8\") as f:\n",
    "    reader=csv.DictReader(f,fieldnames=[\"payload\"])\n",
    "    for row in reader:\n",
    "        payload=row[\"payload\"]\n",
    "        word=GeneSeg(payload)\n",
    "        datas.append(word)\n",
    "        words+=word\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#构建数据集\n",
    "def build_dataset(datas,words):\n",
    "    count=[[\"UNK\",-1]]\n",
    "    counter=Counter(words)\n",
    "    count.extend(counter.most_common(vocabulary_size-1))\n",
    "    vocabulary=[c[0] for c in count]\n",
    "    data_set=[]\n",
    "    for data in datas:\n",
    "        d_set=[]\n",
    "        for word in data:\n",
    "            if word in vocabulary:\n",
    "                d_set.append(word)\n",
    "            else:\n",
    "                d_set.append(\"UNK\")\n",
    "                count[0][1]+=1\n",
    "        data_set.append(d_set)\n",
    "    return data_set\n",
    "data_set=build_dataset(datas,words)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=Word2Vec(data_set,size=embedding_size,window=skip_window,negative=num_sampled,iter=num_iter)\n",
    "embeddings=model.wv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/admin/anaconda3/lib/python3.6/site-packages/sklearn/neighbors/base.py:371: RuntimeWarning: invalid value encountered in sqrt\n",
      "  result = np.sqrt(dist[sample_range, neigh_ind]), neigh_ind\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_with_labels(low_dim_embs,labels,filename=plt_dir):\n",
    "    plt.figure(figsize=(10,10))\n",
    "    for i,label in enumerate(labels):\n",
    "        x,y=low_dim_embs[i,:]\n",
    "        plt.scatter(x,y)\n",
    "        plt.annotate(label,xy=(x,y),xytext=(5,2),\n",
    "                     textcoords=\"offset points\",\n",
    "                     ha=\"right\",\n",
    "                     va=\"bottom\")\n",
    "        f_text=\"vocabulary_size=%d;batch_size=%d;embedding_size=%d;skip_window=%d;num_iter=%d\"%(\n",
    "            vocabulary_size,batch_size,embedding_size,skip_window,num_iter\n",
    "        )\n",
    "        plt.figtext(0.03,0.03,f_text,color=\"green\",fontsize=10)\n",
    "    plt.show()\n",
    "    plt.savefig(filename)\n",
    "tsne=TSNE(perplexity=30,n_components=2,init=\"pca\",n_iter=5000)\n",
    "plot_words=embeddings.index2word[:plot_only]\n",
    "plot_embeddings=[]\n",
    "for word in plot_words:\n",
    "    plot_embeddings.append(embeddings[word])\n",
    "low_dim_embs=tsne.fit_transform(plot_embeddings)\n",
    "print(len(low_dim_embs))\n",
    "plot_with_labels(low_dim_embs,plot_words)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<gensim.models.keyedvectors.Word2VecKeyedVectors object at 0x7f65dd867c88>\n",
      "1\n",
      "Over job in  643.3869767189026\n",
      "Saved words vec to /home/admin/xssdetection/file/word2vec.pickle\n"
     ]
    }
   ],
   "source": [
    "def save(embeddings):\n",
    "    dictionary=dict([(embeddings.index2word[i],i)for i in range(len(embeddings.index2word))])\n",
    "    print(embeddings)\n",
    "    #print(dictionary.keys())))\n",
    "    reverse_dictionary=dict(zip(dictionary.values(),dictionary.keys()))\n",
    "    word2vec={\"dictionary\":dictionary,\"embeddings\":embeddings,\"reverse_dictionary\":reverse_dictionary}\n",
    "    with open(vec_dir,\"wb\") as f:\n",
    "        pickle.dump(word2vec,f)\n",
    "save(embeddings)\n",
    "end=time.time()\n",
    "print(\"Over job in \",end-start)\n",
    "print(\"Saved words vec to\",vec_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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